One cryptographic proof chain — regulator-ready audit across jurisdictions: tamper-rejecting at ingress, tamper-evident after write — operator-independent.
Distributed systems — inference clusters, CDN networks, payment processors, telco signaling — lean on timestamps to sequence events, block replays, and satisfy regulators. But one clock is one point of trust. Compromise the NTP server, spoof the GPS signal, inject a false clock update — and the entire audit trail is corrupt. Traditional systems catch it after the fact, or never.
TTTPS closes this at the protocol level. Every attestation anchors to multiple independent time sources at once — NIST Roughtime and network time; GPS and colocation PTP (±1µs, SVC target); GEO/KTSat ±10ns — roadmap — bound into a cryptographic commitment chain. Manipulate one source and the others disagree — detected instantly. Replay the same token and the chain registers a verifiable collision.
Most systems trust a single clock. Wrong by drift, or compromised by NTP injection or GPS spoofing — the whole audit trail goes with it, and nothing inside the system can tell.
TTTPS anchors every token to multiple independent sources at once — NIST Roughtime and network time; GPS and colocation PTP (±1µs, SVC target); GEO/KTSat ±10ns — roadmap — across one commitment chain. Manipulate one and the rest disagree. The divergence is logged with the exact attack type, so the trail survives even under active attack.
Replay is just as visible: submit a token twice and the chain collides on the second verify. No trust in the submitter, no trust in the network — only that the commitment is internally consistent.
Three independent layers close every angle of attack — from the moment a token arrives to the moment a regulator reads the log.
7 attack vectors actively detected (6 on roadmap) via cryptographic commitment chain and temporal verification.
| Attack Type | Detection Mechanism | Layer | Log Field |
|---|---|---|---|
| Token Replay | Commitment chain collision — same token submitted twice yields mismatch on second verify | Application | attack_type: "REPLAY" |
| Timestamp Drift | Multi-source time anchor cross-check; delta exceeds ±10 ms threshold | Protocol | attack_type: "DRIFT" |
| Signature Forgery | Ed25519 signature verification against published pubkey fails | Cryptographic | attack_type: "FORGE" |
| Flood DDoS | Rate-limit token bucket per ctx_id; excess requests flagged | Transport | attack_type: "FLOOD" |
| Ordering Attack | Chain digest sequence check; out-of-order submission breaks chain integrity | Protocol | attack_type: "ORDERING" |
| Cross-Pool Replay | ctx_id binding in commitment; token from pool A rejected by pool B | Application | attack_type: "CROSS_POOL" |
| Sybil | Identity multiplicity detected via convergent commitment patterns across ctx_ids | Application | attack_type: "SYBIL" |
| GPS Spoofing | Time anchor from GPS cross-referenced with network time; divergence triggers alert | Physical | attack_type: "GPS_SPOOF" |
| NTP Injection | Multiple independent time sources compared; single-source manipulation isolated | Network | attack_type: "NTP_INJECT" |
| BGP Hijacking | Route-origin commitment verified against signed prefix advertisement | Network | attack_type: "BGP_HIJACK" |
| DNS Poisoning | Resolution binding in token; mismatched endpoint detected at verify step | Network | attack_type: "DNS_POISON" |
| SDN Flow Manipulation | Path-fingerprint delta comparison; altered flow topology breaks commitment | Network | attack_type: "SDN_MANIP" |
| Protocol Violation | Schema validation on all fields; malformed token structure rejected at ingress | Application | attack_type: "PROTO_VIOLATION" |
Multi-stage cryptographic commitment architecture. Each stage narrows the attack surface.
Multi-source time anchors → lattice-based integrity pipeline → HMAC-SHA256 → Ed25519 signature
Cryptographic primitives: Ed25519 signing · blake3 keyed hash · 143-byte wire format (IETF draft-helmprotocol-tttps-03)
All manipulation at any stage converges to commitment mismatch at verify.
The pipeline ingests independent time sources — NIST Roughtime, network time; GPS and colocation PTP (±1µs, SVC target); GEO/KTSat ±10ns — roadmap — and computes a layered commitment, sealed with an Ed25519 signature over the final chain digest. Tamper at any stage, by any vector, and verification returns a mismatch.
Adaptive sealing mode based on time-source quality.
| Mode | Condition | Latency | Use Case |
|---|---|---|---|
| Turbo | PTP sync available (±10µs) | Fast path — blake3 keyed root only | High-frequency inference, CDN delivery, payment rails |
| Full | PTP unavailable / clock drift detected | Full lattice pipeline | Regulatory submission, cross-border compliance, audit export |
Note: internal pipeline architecture proprietary. Contact peter@kenosian.com for technical deep-dive under NDA.
How TTTPS catches attacks that traditional audit systems miss entirely.
| Attack | What Happens | How TTTPS Catches It | Log Field |
|---|---|---|---|
| NTP Injection | Attacker compromises NTP server, advances clock 30s to replay old transactions | GPS and Roughtime anchors disagree with the manipulated NTP anchor — multi-source consensus fails | attack_type: "NTP_INJECT" |
| Token Replay | Same API request submitted twice with identical timestamp token | Commitment chain registers a collision on second submission — mathematically impossible for two valid unique tokens | attack_type: "REPLAY" |
| Signature Forgery | Attacker intercepts and modifies payload, attempts to recompute signature | Ed25519 verification fails against published public key — no valid signature possible without the private key | attack_type: "FORGE" |
| GPS Spoofing | Attacker broadcasts false GPS time signal to ground infrastructure | Roughtime and NTP anchors disagree with GPS — cross-source delta exceeds ±10ms threshold | attack_type: "GPS_SPOOF" |
| Ordering Attack | Attacker reorders a sequence of legitimate tokens to alter apparent event history | Chain digest sequence check breaks — out-of-order submission violates chain integrity | attack_type: "ORDERING" |
api.kenosian.com live — shows token + Byzantine audit result
Or via curl:
Step 1: Generate a token
curl -X POST https://api.kenosian.com/api/demo/pot/generate \
-H "Content-Type: application/json" \
-d '{"ctx_id":"demo"}'
Expected response:
{
"status": "ok",
"ctx_id": "demo",
"timestamp_ms": 1748000000000,
"lattice_commitment": "a3f9c2...",
"chain_digest": "b7c2e1...",
"signature": "ed25519-base64...",
"pubkey": "acac8eae..."
}
Step 2: Verify (replay attack detection)
curl -X POST https://api.kenosian.com/api/demo/pot/verify \
-H "Content-Type: application/json" \
-d '{"ctx_id":"demo","token":"<paste token from step 1>"}'
Step 3: Trigger replay detection
# Submit same token twice → REPLAY detected
curl -X POST https://api.kenosian.com/api/demo/pot/verify \
-H "Content-Type: application/json" \
-d '{"ctx_id":"demo","token":"<same token>"}'
{"valid":false,"attack_type":"REPLAY"}
curl "https://api.kenosian.com/audit?ctx_id=demo&window=3600" \ -H "X-API-Key: <your-key>"
Response (real measurement basis):
{
"ctx_id": "demo",
"window_secs": 3600,
"total_requests": 142,
"byzantine_total": 3,
"byzantine_ratio": 0.021,
"attack_breakdown": { "REPLAY": 2, "DRIFT": 1, "FORGE": 0, "FLOOD": 0 }
}
Prometheus metrics:
curl https://api.kenosian.com/metrics
tttps_attack_total{type="replay"} 2
tttps_attack_total{type="drift"} 1
tttps_byzantine_ratio 0.021
TTTPS is the right tool when you need to prove when something happened — not just that it happened.
| Use Case | What TTTPS Provides |
|---|---|
| LLM inference clusters | Cryptographic audit trail of every KV cache transfer between prefill and decode nodes — detect replay, ordering, and forgery attacks in real time (Hydra-KV integration) |
| CDN / game patch delivery | Per-chunk delivery proof — any content owner or regulator can verify exactly when a chunk was delivered, to which node, and that it was unmodified (Hydra-CDN integration) |
| Payment processors | Timestamp every payment attestation with cryptographic proof resistant to clock manipulation — regulatory-grade tamper evidence |
| Telco / ISP signaling | TRAI-aligned audit trail for all inter-node signaling — JSON-LD export format ready for submission |
| Any distributed API | Byzantine attack detection on every request — REPLAY, FLOOD, FORGE, DRIFT detected and logged automatically |
TTTPS provides cryptographic proof-of-time designed to satisfy timestamp integrity requirements across financial and infrastructure regulations.
| Regulation | Requirement | TTTPS Coverage |
|---|---|---|
| MiFIR Art.22c RTS EU MiFIR Art.22c (clock-sync, RTS 25 ±1ms) — pending application date | ±1ms clock synchronization for HFT; ±100µs for systematic internalisers and trading venues | Multi-source PoT via colocation PTP (±1µs, SVC target) · cryptographic divergence detection · ESMA-aligned |
| FINRA Rule 4590 CAT NMS Plan, US | Clock synchronization audit trail | Tamper-evident PoT log, queryable per-event |
| DORA Art.10 EU 2022/2554 | ICT threat detection mechanisms | 7 Byzantine attack vectors detected and logged in real time (6 roadmap) |
| MAS TRM 2021 + AIRG 2025 Section 6.4.1 + AI Risk Mgmt Guidelines, Singapore | Financial infrastructure time audit | Multi-anchor PoT with NTP + Roughtime and colocation PTP (±1µs, SVC target); GEO/KTSat ±10ns — roadmap |
| FCA PS17/14 UK MiFID II equivalent | Clock synchronization, audit trail integrity | Ed25519-signed PoT chain, designed to support forensic evidence submission |
| TRAI / CERT-In India | Telecom timestamp integrity, incident reporting | PoT format aligned with TRAI audit requirements; CERT-In structured evidence format |
| FCA MAR 7A UK Market Abuse Regulation | Clock synchronization, audit trail integrity for trading venues | Ed25519-signed PoT chain, structured for submission in FCA proceedings |
| FSA FIEA Art.156 Japan Financial Instruments and Exchange Act | Order management system timestamp records | Per-event PoT log queryable per-order; JSON-LD export for FSA submission |
| SEC Rule 17a-3 US Securities and Exchange Commission | Records of orders, confirmations, and audit trail integrity | Tamper-evident PoT per transaction; Prometheus alert on Byzantine detection |
| ACMA Telecommunications Act Australia | Network integrity, interoperability audit requirements | Byzantine-resistant PoT chain across multi-carrier peering points |
TTTPS generates a tamper-evident audit trail suitable for submission to regulatory bodies.
| Format / Organization | Details |
|---|---|
| JSON-LD export | Structured, machine-readable audit records compatible with standard compliance tooling |
| Prometheus + Grafana | Live metrics dashboard — contact peter@kenosian.com for access |
Three questions a client asks: where does it attach, where is it served, and what do I actually implement. Concretely:
1 · Where it attaches
TTTPS binds to one layer of the transaction: pre-settlement ingestion — the moment an event enters the books, before it is committed. You do not modify the asset, the chain, or the settlement value. You seal the timing and order at the gate. Attach it to a stablecoin settlement flow and that stablecoin carries a tamper-rejecting record of when and in what order every transfer cleared — an integrity layer on top of an existing token, not a new token.
2 · Where it is served
The verification engine runs off-chain, on a data-center fabric — co-located with the systems that move at payment and inference speed. It can be served on a DC fabric or self-hosted; either is supported, neither is a precondition. An on-chain anchor is optional — commit a periodic chain digest on-chain when you want long-lived public anchoring for audit, and skip it when you do not.
What it is not: an Ethereum-only deployment. Settling integrity proofs through block confirmation alone inherits block latency — seconds, not microseconds — which is unfit for real-time payment and agent settlement. TTTPS runs at fabric speed and treats the chain as an optional anchor, not the critical path.
3 · What you implement
Three steps, dropped into the existing flow — no chain change, no reissuance:
Open-source reference implementation. IETF draft in active submission.
npm install openttt
GitHub: github.com/helm-protocol/openttt
IETF Draft: datatracker.ietf.org/doc/draft-helmprotocol-tttps/
Production API: peter@kenosian.com
Target accounts on colocation fabric — illustrative, pre-engagement (LOI stage). Revenue figures are estimated potential ARR, not contracted.
Tier 1 — Institutional · €12,000/mo
| Target Client (Fabric tenant) | IBX | Regulation | Value (projected) |
|---|---|---|---|
| Goldman Sachs | LD4, NY4 | MiFIR Art.22c + DORA + EU AI Act | €144K/yr (projected) |
| JPMorgan Chase | LD4, NY4, TY3 | MiFIR Art.22c + DORA + EU AI Act | €144K/yr (projected) |
| Morgan Stanley | LD4, NY4 | MiFIR Art.22c + DORA | €144K/yr (projected) |
| Deutsche Bank | FR5, LD4 | EU AI Act GPAI + DORA | €144K/yr (projected) |
| BNP Paribas | FR5, LD4 | EU AI Act + MiFIR Art.22c + DORA | €144K/yr (projected) |
| HSBC | LD4, HK1 | MiFIR Art.22c + DORA + MAS TRM | €144K/yr (projected) |
| MUFG / Nomura | TY3, TY5 | FSA + MiFIR Art.22c | €43K/yr (projected) |
Tier 2 — MiFID Pro · €3,600/mo
| Target Client (Fabric tenant) | IBX | Regulation | Value (projected) |
|---|---|---|---|
| Citadel Securities | LD4, NY4, CH1 | MiFIR Art.22c RTS — pending application date | €43K/yr (projected) |
| Optiver | AM3, CH1 | MiFIR Art.22c | €43K/yr (projected) |
| IMC Trading | AM3, NY4 | MiFIR Art.22c | €43K/yr (projected) |
| Virtu Financial | NY4, LD4 | MiFIR Art.22c + FINRA CAT | €43K/yr (projected) |
| Flow Traders | AM3, LD4 | MiFIR Art.22c | €43K/yr (projected) |
| Groq | SV1 | EU AI Act GPAI (colocation fabric) | €43K/yr (projected) |
| Lambda Labs | SV1 | EU AI Act GPAI | €43K/yr (projected) |
| CoreWeave | SV1, NY2 | EU AI Act GPAI | €43K/yr (projected) |
Target PoPs: LD4 · FR5 · AM3 · NY4 · NY2 · CH1 · SK1 · HK1 · TY3 · TY5 · SV1
Fixed monthly subscription — up to 50M events/month (fair-use). All tiers include Byzantine detection, multi-source Roughtime validation, and audit log retention.
| Tier | Price | Includes | |
|---|---|---|---|
| Compliance | €300/month | Up to 50M events/month (fair-use) · Byzantine detection · 90-day audit log · Prometheus · JSON-LD export | |
| MiFID Pro | €3,600/month | All Compliance features · MiFIR Art.22c RTS · KTSat GEO path (±10 ns, roadmap) · SLA 99.9% · dedicated onboarding | |
| Institutional | €12,000/month | All MiFID Pro features · custom retention · co-location support | Contact |
Market reference: DigiCert timestamp authority $0.10–0.50/token. TTTPS: up to 50M events/month (fair-use cap) with multi-source Roughtime + Byzantine detection included.
Annual contract: 2 months free. · Included in all Hydra product bundles. · Hydra-Audit: standalone or bundled (Contact).
Production API key required.
Contact peter@kenosian.com for access and onboarding.
| Tier | Rate Limit | Audit Log Retention | Access |
|---|---|---|---|
| Demo | 10 req / min | 1 hour | No key required |
| Production | Custom | 90 days | peter@kenosian.com |
“Third-party evaluation could be done by a government agency (similar to the FAA) or a set of private organizations that are authorized and inspected by the government.”
The CoE AI Convention is in force since 2025-11-01. Signed by EU, UK, US et al.; ratified by EU, UK, France, Norway and others. US: signed (not ratified). A TTTPS chain generated at the moment of your AI operation provides cryptographic evidence structured for submission across CoE signatory frameworks.
One cryptographic seal. Designed to support submission across CoE signatory frameworks. GPAI (Art.53) enforcement: August 2, 2026.
TTTPS produces a verifiable, tamper-rejecting record of when an event occurred and in what order — the timing-integrity primitive every Hydra product builds on. If TTTPS is adopted as the standard, a conforming deployment could carry the “TTTPS-certified” mark, signalling that its records are anchored to verifiable time rather than to a self-asserted clock.
Proposed mark for explanation only. Any “certified” status is conditional (“could / if adopted”) and would operate under the Kenosian root of trust — not a present-day certification program.